So, the 'event' is the winning goal in this key game. But here's what I see that gives it a synchronistic signature.
1. The winning goal was scored by a player named Andy King.
2. This King was an unusually 'pure' Leicester City player, had played for the club his entire career.
3. LCity is owned by a corporation named King Power, which superbly complements that King Richard-Leicester backstory.
4. On the day the winning goal was scored, it was King Power CEO's birthday.
Clearly, we're dealing with a scenario that's more complex than a binary one. How might you begin to frame an analysis in a regression or Chance analysis here. My layman's guess is to seek to apply suitable ranges.
I'd use the regression analysis for events (winning games) over time compared to expectations.
For the four anomalies you iddntified, I'd use the binomial expansion. The likelihood of 4 unusual synchronous signatures would be 1/16: interesting, but no cigar. You'd need at least one more to get to statistical significance.